Evidence map›Paper›PMID 29849788›Full record

ArticleOncology letters2018

SPP1 and AGER as potential prognostic biomarkers for lung adenocarcinoma.

Weiguo Zhang, Junli Fan, Qiang Chen, Caipeng Lei, Bin Qiao, Qin Liu

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  5. [Role of SPP1 in acute kidney injury induced by renal ischemia-reperfusion in rats].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Weiguo ZhangHenan Key Laboratory of Cancer Epigenetics, Department of Oncology Surgery, Cancer Institute and College of Clinical Medicine, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan 471003, P.R. China.
Junli FanHenan Key Laboratory of Cancer Epigenetics, Department of Oncology Surgery, Cancer Institute and College of Clinical Medicine, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan 471003, P.R. China.
Qiang ChenHenan Key Laboratory of Cancer Epigenetics, Department of Oncology Surgery, Cancer Institute and College of Clinical Medicine, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan 471003, P.R. China.
Caipeng LeiHenan Key Laboratory of Cancer Epigenetics, Department of Oncology Surgery, Cancer Institute and College of Clinical Medicine, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan 471003, P.R. China.
Bin QiaoHenan Key Laboratory of Cancer Epigenetics, Department of Oncology Surgery, Cancer Institute and College of Clinical Medicine, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan 471003, P.R. China.
Qin LiuHenan Key Laboratory of Cancer Epigenetics, Department of Oncology Surgery, Cancer Institute and College of Clinical Medicine, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan 471003, P.R. China.
First Affiliated Hospital of Henan University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overdue treatment and prognostic evaluation lead to low survival rates in patients with lung adenocarcinoma (LUAD). To date, effective biomarkers for prognosis are still required. The aim of the present study was to screen differentially expressed genes (DEGs) as biomarkers for prognostic evaluation of LUAD. DEGs in tumor and normal samples were identified and analyzed for Kyoto Encyclopedia of Genes and Genomes/Gene Ontology functional enrichments. The common genes that are up and downregulated were selected for prognostic analysis using RNAseq data in The Cancer Genome Atlas. Differential expression analysis was performed with 164 samples in GSE10072 and GSE7670 datasets. A total of 484 DEGs that were present in GSE10072 and GSE7670 datasets were screened, including secreted phosphoprotein 1 (SPP1) that was highly expressed and DEGs ficolin 3, advanced glycosylation end-product specific receptor (AGER), transmembrane protein 100 that were lowly expressed in tumor tissues. These four key genes were subsequently verified using an independent dataset, GSE19804. The gene expression model was consistent with GSE10072 and GSE7670 datasets. The dysregulation of highly expressed SPP1 and lowly expressed AGER significantly reduced the median survival time of patients with LUAD. These findings suggest that SPP1 and AGER are risk factors for LUAD, and these two genes may be utilized in the prognostic evaluation of patients with LUAD. Additionally, the key genes and functional enrichments may provide a reference for investigating the molecular expression mechanisms underlying LUAD.

Indexed as

differentially expressed genesfunctional analysislung adenocarcinomaprognostic biomarker

Identifiers

PMID29849788
PMCPMC5962856
OpenAlexW2791975514

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.